Essays about: "Airlines"

Showing result 1 - 5 of 120 essays containing the word Airlines.

  1. 1. Cross-Cultural Web Design for a Rule Based Marketing Tool

    University essay from Lunds universitet/Ergonomi och aerosolteknologi

    Author : Annie Önnered; Erica Karlsson; [2019]
    Keywords : cross-cultural design; rule building tool; in-flight marketing; prototype; user behaviour; user centered design; Technology and Engineering;

    Abstract : While flying today the customers will receive static advertisements on the screens placed in front of every seat. Hence, the advertisements do not differ depending on the flight’s duration or personal interests. READ MORE

  2. 2. Considerations for a Service that enables Sharing Ride Experiences to and from the Airport

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Laura Becedas Segerström; [2019]
    Keywords : Sharing economy; Shared mobility; Transportation; Research through Design; ;

    Abstract : Although shared mobility services provide benefits such as minimizing congestion as well as pollution and costs of transportation, barriers such as trust and convenience are blocking these services from reaching a broader audience. In this paper, considerations for a new service that aims to bring together familiar strangers to share rides to and from the airport is presented using a Research through Design approach. READ MORE

  3. 3. Correlation between emotional tweets and stock prices

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Kätriin Kukk; [2019]
    Keywords : Twitter; tweet; sentiment; emotion; correlation; stock market; stock price;

    Abstract : Social media platforms such as Facebook and Twitter have enormous amounts of data that can be extracted and analyzed for various purposes. Stock market prediction is one of them. READ MORE

  4. 4. A Study on Comparison Websites in the Airline Industry and Using CART Methods to Determine Key Parameters in Flight Search Conversion

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Jacob Hansén; Axel Gustafsson; [2019]
    Keywords : True positives; true negatives; false positives; false negatives; Classification Trees; Random Forest; SMOTE; ROSE; ROC; AUC; LCC; meta-search engine; Online Travel Agency; Gini impurity index; Sann negativ; sann positiv; falsk positiv; falsk negativ; klassificationsträd; Random Forest; SMOTE; ROSE; ROC; AUC; jämförelsehemsida; resebyrå; Gini koefficient;

    Abstract : This bachelor thesis in applied mathematics and industrial engineering and management aimed to identify relationships between search parameters in flight comparison search engines and the exit conversion rate, while also investigating how the emergence of such comparison search engines has impacted the airline industry. To identify such relationships, several classification models were employed in conjunction with several sampling methods to produce a predictive model using the program R. READ MORE

  5. 5. Binary classification for predicting propensity to buy flight tickets. : A study on whether binary classification can be used to predict Scandinavian Airlines customers’ propensity to buy a flight ticket within the next seven days.

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik; Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Martin Andersson; Marcus Mazouch; [2019]
    Keywords : statistics; classification; machine learning; logistic regression; support vector machine; rbf; significance; prediction; propensity to buy; flight; tickets; ai; artificiell intelligens; walds test; sas; scandinavian airlines; statistik; klassificering; maskininlärning; logistic regression; support vector machine; rbf; signifikans; walds test; prediktion; benägenhet att köpa; flight; biljett; flyg; ai; artificial intelligence; sas; scandinavian airlines;

    Abstract : A customers propensity to buy a certain product is a widely researched field and is applied in multiple industries. In this thesis it is showed that using binary classification on data from Scandinavian Airlines can predict their customers propensity to book a flight within the next coming seven days. READ MORE